Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) pandafish-7b - GGUF - Model creator: https://huggingface.co/ichigoberry/ - Original model: https://huggingface.co/ichigoberry/pandafish-7b/ | Name | Quant method | Size | | ---- | ---- | ---- | | [pandafish-7b.Q2_K.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.Q2_K.gguf) | Q2_K | 2.53GB | | [pandafish-7b.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.IQ3_XS.gguf) | IQ3_XS | 2.81GB | | [pandafish-7b.IQ3_S.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.IQ3_S.gguf) | IQ3_S | 2.96GB | | [pandafish-7b.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.Q3_K_S.gguf) | Q3_K_S | 2.95GB | | [pandafish-7b.IQ3_M.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.IQ3_M.gguf) | IQ3_M | 3.06GB | | [pandafish-7b.Q3_K.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.Q3_K.gguf) | Q3_K | 3.28GB | | [pandafish-7b.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.Q3_K_M.gguf) | Q3_K_M | 3.28GB | | [pandafish-7b.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.Q3_K_L.gguf) | Q3_K_L | 3.56GB | | [pandafish-7b.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.IQ4_XS.gguf) | IQ4_XS | 3.67GB | | [pandafish-7b.Q4_0.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.Q4_0.gguf) | Q4_0 | 3.83GB | | [pandafish-7b.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.IQ4_NL.gguf) | IQ4_NL | 3.87GB | | [pandafish-7b.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.Q4_K_S.gguf) | Q4_K_S | 3.86GB | | [pandafish-7b.Q4_K.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.Q4_K.gguf) | Q4_K | 4.07GB | | [pandafish-7b.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.Q4_K_M.gguf) | Q4_K_M | 4.07GB | | [pandafish-7b.Q4_1.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.Q4_1.gguf) | Q4_1 | 4.24GB | | [pandafish-7b.Q5_0.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.Q5_0.gguf) | Q5_0 | 4.65GB | | [pandafish-7b.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.Q5_K_S.gguf) | Q5_K_S | 4.65GB | | [pandafish-7b.Q5_K.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.Q5_K.gguf) | Q5_K | 4.78GB | | [pandafish-7b.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.Q5_K_M.gguf) | Q5_K_M | 4.78GB | | [pandafish-7b.Q5_1.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.Q5_1.gguf) | Q5_1 | 5.07GB | | [pandafish-7b.Q6_K.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.Q6_K.gguf) | Q6_K | 5.53GB | | [pandafish-7b.Q8_0.gguf](https://huggingface.co/RichardErkhov/ichigoberry_-_pandafish-7b-gguf/blob/main/pandafish-7b.Q8_0.gguf) | Q8_0 | 7.17GB | Original model description: --- tags: - merge - mergekit - lazymergekit license: apache-2.0 --- # pandafish-7b pandafish-7b is an instruct model based on a [Model Stock](https://arxiv.org/abs/2403.19522) merge of the following models (via [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing)): ## 🧩 Configuration ```yaml models: - model: mistralai/Mistral-7B-v0.1 - model: mistralai/Mistral-7B-Instruct-v0.2 - model: CultriX/NeuralTrix-bf16 - model: OpenPipe/mistral-ft-optimized-1227 merge_method: model_stock base_model: mistralai/Mistral-7B-v0.1 dtype: bfloat16 ``` ## 🏆 Evals | Model |Average|AGIEval|GPT4All|TruthfulQA|Bigbench| |---------------------------------------------------------------|------:|------:|---------:|-------:|------:| |[pandafish-7b](https://huggingface.co/ichigoberry/pandafish-7b) [📄](https://gist.github.com/tosh/dda6a21e568d17a410ca618265f64a28)| 51.99 | **40** | **74.23** | 53.22 | 40.51 | |[mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) [📄](https://gist.github.com/mlabonne/05d358e17dffdf9eee7c2322380c9da6) | 54.81 | 38.5 | 71.64 | **66.82** | **42.29** | ## 💻 Usage ```python !pip install -qU transformers accelerate from transformers import AutoTokenizer import transformers import torch model = "ichigoberry/pandafish-7b" messages = [{"role": "user", "content": "What is a large language model?"}] tokenizer = AutoTokenizer.from_pretrained(model) prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) pipeline = transformers.pipeline( "text-generation", model=model, torch_dtype=torch.float16, device_map="auto", ) outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) print(outputs[0]["generated_text"]) ```